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This repository contains the annotations and download scripts for the audio files of the GiantSteps Key data set. This data set was published at ISMIR 2015: P. Knees et al.: "Two data sets for tempo estimation and key detection in electronic dance music annotated from user corrections" http://www.cp.jku.at/datasets/giantst…
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name: GiantSteps (key) contact: Peter Knees <firstname.lastname@example.org> Ángel Faraldo <email@example.com> Richard Vogl <firstname.lastname@example.org> description: collection of annotations for 604 2min(1) audio previews from www.beatport.com reference: Peter Knees, Ángel Faraldo, Perfecto Herrera, Richard Vogl, Sebastian Böck, Florian Hörschläger, Mickael Le Goff: "Two data sets for tempo estimation and key detection in electronic dance music annotated from user corrections," Proc. of the 16th Conference of the International Society for Music Information Retrieval (ISMIR'15), Oct. 2015, Malaga, Spain. annotations: key content: ========================================================================= audio/ original audio files in mp3 format md5/ md5 hashes of original audio files annotations/genre/ genre annotations annotations/key/ key annotations annotations/giantsteps/ annotations in the GiantSteps project format annotations/jams/ annotations in the JAMS (https://github.com/marl/jams) format notes: ========================================================================= The audio files (604 files, size ~850Mb) can be downloaded from http://www.beatport.com/ using the bash script: ./audio_dl.sh To download the files manually use links of the following form: http://geo-samples.beatport.com/lofi/<name of mp3 file> e.g.: http://geo-samples.beatport.com/lofi/5377710.LOFI.mp3 To convert the audio files to .wav use (bash + sox): ./convert_audio.sh To retrieve the genre information, the JSON contained within the website was parsed. The key annotation was extracted from forum entries of people correcting the key annotations (i.e. manual annotation of tempo). For more information please contact creators. (1): Most of the audio files are 120 seconds long. Exceptions are: name length 1224698.LOFI.mp3 45 1442809.LOFI.mp3 62 3424038.LOFI.mp3 77 4452003.LOFI.mp3 59